Monday, July 20, 2009
The traditional view of neural development is linear. First, the embryo and neurectoderm are patterned by secreted factors, which establish cell fates among progenitors and then differentiated neurons, encoded by combinations of transcription factors. The fate or phenotype of each neuron includes the expression of the specific set of ion channels, neurotransmitters and receptors that determine its physiological function. It also includes expression of a particular repertoire of guidance receptors and surface molecules regulating connectivity, which enable axonal pathfinding and target selection. The processes that establish connectivity are usually thought of as happening after the fate of neurons and their targets have been established. This linear paradigm, from patterning to differentiation to connection, has been increasingly challenged by studies from both invertebrate and vertebrate systems.
A number of studies have shown that incoming axons can regulate the proliferation and differentiation of their synaptic target cells. In many cases in fact, the target cells do not even exist at the time that the incoming axons are making their targeting decisions. In the fly visual system, for example, photoreceptor axons target the developing optic lobe and secrete the morphogen hedgehog, which induces optic lobe progenitor cells to complete a final cell division and undergo neuronal differentiation (Huang and Kunes, 1996). In addition, secretion of additional signaling molecules induces expression in the optic lobe neurons of adhesion molecules and guidance factors necessary for retinal axons to recognize them as appropriate synaptic targets (Bazigou et al., 2007). Thus, the final differentiation of cells in the optic lobe requires the prior pathfinding of retinal axons to this area.
A similar situation has been demonstrated in the mammalian brain, where axons from the visual thalamus induce the proliferation and differentiation of the primary visual cortex (Dehay et al., 2001). Significant patterning of the cortical sheet occurs prior to thalamic axon invasion and directs the guidance of visual thalamic axons to the appropriate part of the cortex (Little et al., 2009). However, ultimate elaboration of the mature cytoarchitectonic characteristics of primary visual cortex, including its pattern of connectivity with other cortical areas, requires correct innervation by visual thalamic axons. Though it has not been shown, it seems likely that this kind of hierarchical dependence on afferent innervation might also be crucial in the elaboration of later-maturing higher-order cortical areas, which receive inputs from earlier-maturing areas (Bargary and Mitchell, 2008).
The linear developmental paradigm must thus be substantially modified to include a highly dynamic interplay between differentiation and establishment of connectivity. Importantly, a recent study suggests that the influence of this interplay also extends to the maintenance of cell fate in the adult nervous system. It is well known that many neurons require retrograde neurotrophic support from their target cells to stay alive. A study from Drosophila (Eade and Allan, 2009) suggests that retrograde signals, in this case involving bone morphogenetic protein (BMP) signaling, may also be required to maintain expression of neuronal phenotype in connecting cells, demonstrated through an effect on expression of a specific neuropeptide. This signaling was shown to require active axonal transport mechanisms. If this mechanism holds in vertebrates it has several important implications. First, neuronal phenotypes in the adult nervous system may be more plastic than previously recognised and more actively maintained by regulators of gene expression in response to ongoing retrograde (and possibly anterograde?) signaling. Second, neurodegenerative disorders involving defects in axonal transport, such as Huntington’s disease, may have their primary effects on neuronal phenotype and physiological function, inducing partial de-differentiation prior to overt degeneration. Therapeutics aimed at preventing this process may thus be able to target the earliest stages of such diseases.
HUANG, Z., & KUNES, S. (1996). Hedgehog, Transmitted along Retinal Axons, Triggers Neurogenesis in the Developing Visual Centers of the Drosophila Brain Cell, 86 (3), 411-422 DOI: 10.1016/S0092-8674(00)80114-2
BAZIGOU, E., APITZ, H., JOHANSSON, J., LOREN, C., HIRST, E., CHEN, P., PALMER, R., & SALECKER, I. (2007). Anterograde Jelly belly and Alk Receptor Tyrosine Kinase Signaling Mediates Retinal Axon Targeting in Drosophila Cell, 128 (5), 961-975 DOI: 10.1016/j.cell.2007.02.024
Cell-cycle kinetics of neocortical precursors are influenced by embryonic thalamic axons.
Dehay C, Savatier P, Cortay V, Kennedy H.
J Neurosci. 2001 Jan 1;21(1):201-14.
Little, G., López-Bendito, G., Rünker, A., García, N., Piñon, M., Chédotal, A., Molnár, Z., & Mitchell, K. (2009). Specificity and Plasticity of Thalamocortical Connections in Sema6A Mutant Mice PLoS Biology, 7 (4) DOI: 10.1371/journal.pbio.1000098
Bargary, G., & Mitchell, K. (2008). Synaesthesia and cortical connectivity Trends in Neurosciences, 31 (7), 335-342 DOI: 10.1016/j.tins.2008.03.007
Eade, K., & Allan, D. (2009). Neuronal Phenotype in the Mature Nervous System Is Maintained by Persistent Retrograde Bone Morphogenetic Protein Signaling Journal of Neuroscience, 29 (12), 3852-3864 DOI: 10.1523/JNEUROSCI.0213-09.2009
at 1:47 AM
Tuesday, July 7, 2009
Schizophrenia is a common and devastating disorder, involving stable impairments in a wide range of cognitive, sensory and motor domains, as well as fluctuating episodes of psychosis, characterised by disordered thoughts, hallucinations and delusions. Though it tends to emerge as a full-blown disorder in late adolescence or early adulthood, a wealth of evidence supports the model that it is caused by disturbances in neural development at much earlier time-points, including prenatally. Recent neuroimaging analyses have supported psychological theories of schizophrenia as a “disconnection syndrome”, showing altered structural and functional connectivity between (and also within) many regions of the brain. Schizophrenia can thus be thought of as the result of alterations in brain wiring, and these alterations are, in turn, caused by mutations.
There is strong and consistent evidence from twin, adoption and family studies that schizophrenia is highly heritable. Though this fact is now widely accepted there is far less agreement on exactly how it is inherited. Risks to family members are clearly much higher than to the general population (approximately ten percent in first-degree relatives, versus 0.5-1% prevalence in the general population). And concordance between monozygotic twins is much higher (averaging 0.48) than between dizygotic twins (about 0.17). On the other hand, a majority of cases of schizophrenia are sporadic and do not have an affected first-degree relative. In addition, looking across families with multiple affected individuals, no clear pattern emerges that suggests a simple Mendelian mode of inheritance, or at least not a consistent one.
Various models have been proposed to explain the genetic architecture of schizophrenia. Early researchers suggested Mendelian inheritance, either recessive or dominant, with partial penetrance (i.e., not everyone who inherits the putative causative mutation develops the disorder). Based on the fact that any one of these modes of inheritance could not explain all cases of schizophrenia, and on a rejection of the notion that different cases might follow different modes of inheritance (i.e., genetic heterogeneity), these models have been almost completely replaced by a polygenic model. This states that schizophrenia arises due to the inheritance of a large number of genetic variants in any individual. Any one of these variants alone would have a small effect on risk, but collectively, a “toxic combination” of such variants could lead to disease. To explain the prevalence of the disorder, such variants must be common in the population. The alternative model, which has been dubbed the multiple rare variants model, proposes that schizophrenia is caused in each individual by a single mutation and that such mutations are rare because they are rapidly selected against. To explain the prevalence of the disorder under this model requires a high mutation rate and a large target of genes that can result in schizophrenia when mutated.
A recent set of papers has directly tested the common variants, polygenic model (cited below). These papers describe very large genome-wide association studies (GWAS) of schizophrenia, carried out in unprecedented collaborations on huge samples by large numbers of researchers in different facilities across the globe. The goal of these studies is to find alleles of common variants that are significantly enriched in people with schizophrenia (cases) versus those without (controls). Under the common variants model, each such variant is likely to increase risk only very slightly itself and is therefore likely to be at only slightly higher frequency in cases. However, comparing frequencies of a set of common variants across the entire genome in large samples offers enough statistical power to detect even very modest effects. The hope is that identifying such “risk genes” will lead to insights of the pathogenic mechanisms of the disorder or offer the means to predict level of risk in individuals.
The main finding of these three studies, consistent with several smaller forerunners, is that there are no common variants of even modest effect size. None of these studies alone detected a single such variant. When combined in a meta-analysis, a few regions emerged with very small effect sizes. These explain only a tiny fraction of the total heritability of the disorder, however. Considering the demonstrable power of these studies to have detected variants of modest effect if they existed, these negative results provide the strongest evidence yet that the common variants, polygenic model is incorrect.
(Note that a further analysis does suggest some polygenic contribution to risk, but based on the combined effects of thousands of variants. The simulations used to estimate the magnitude of this effect are far from conclusive, however. Regardless of its overall contribution to risk, this finding could be consistent with a “genetic background” effect, which modifies the penetrance and expressivity of rare, causal mutations.)
Are these disappointing results cause for dismay? Quite the opposite, I would say. They provide additional support for the multiple rare variants model, which is now gaining traction with the recent discoveries of many such rare, causal mutations. This should encourage geneticists to re-focus their efforts on families and individuals and move away from an epidemiological approach that focuses on risk across the population. Schizophrenia liability is not a quantitative trait and should not be treated as one. Happily, the technologies to detect rare, causal variants are now available, most obviously whole-genome sequencing. The upside of this model being true is that the effects of such mutations in single genes can be very directly modeled in animals, to help elucidate the pathogenic mechanisms, pathophysiology and etiology of the disorder.
For more discussion see: http://www.schizophreniaforum.org/new/detail.asp?id=1532
Purcell, S., Wray, N., Stone, J., Visscher, P., O'Donovan, M., Sullivan, P., Sklar, P., Purcell (Leader), S., Stone, J., Sullivan, P., Ruderfer, D., McQuillin, A., Morris, D., O’Dushlaine, C., Corvin, A., Holmans, P., O’Donovan, M., Sklar, P., Wray, N., Macgregor, S., Sklar, P., Sullivan, P., O’Donovan, M., Visscher, P., Gurling, H., Blackwood, D., Corvin, A., Craddock, N., Gill, M., Hultman, C., Kirov, G., Lichtenstein, P., McQuillin, A., Muir, W., O'Donovan, M., Owen, M., Pato, C., Purcell, S., Scolnick, E., St Clair, D., Stone, J., Sullivan, P., Sklar (Leader), P., O'Donovan, M., Kirov, G., Craddock, N., Holmans, P., Williams, N., Georgieva, L., Nikolov, I., Norton, N., Williams, H., Toncheva, D., Milanova, V., Owen, M., Hultman, C., Lichtenstein, P., Thelander, E., Sullivan, P., Morris, D., O'Dushlaine, C., Kenny, E., Quinn, E., Gill, M., Corvin, A., McQuillin, A., Choudhury, K., Datta, S., Pimm, J., Thirumalai, S., Puri, V., Krasucki, R., Lawrence, J., Quested, D., Bass, N., Gurling, H., Crombie, C., Fraser, G., Leh Kuan, S., Walker, N., St Clair, D., Blackwood, D., Muir, W., McGhee, K., Pickard, B., Malloy, P., Maclean, A., Van Beck, M., Wray, N., Macgregor, S., Visscher, P., Pato, M., Medeiros, H., Middleton, F., Carvalho, C., Morley, C., Fanous, A., Conti, D., Knowles, J., Paz Ferreira, C., Macedo, A., Helena Azevedo, M., Pato, C., Stone, J., Ruderfer, D., Kirby, A., Ferreira, M., Daly, M., Purcell, S., Sklar, P., Purcell, S., Stone, J., Chambert, K., Ruderfer, D., Kuruvilla, F., Gabriel, S., Ardlie, K., Moran, J., Daly, M., Scolnick, E., & Sklar, P. (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder Nature DOI: 10.1038/nature08185
Shi, J., Levinson, D., Duan, J., Sanders, A., Zheng, Y., Pe’er, I., Dudbridge, F., Holmans, P., Whittemore, A., Mowry, B., Olincy, A., Amin, F., Cloninger, C., Silverman, J., Buccola, N., Byerley, W., Black, D., Crowe, R., Oksenberg, J., Mirel, D., Kendler, K., Freedman, R., & Gejman, P. (2009). Common variants on chromosome 6p22.1 are associated with schizophrenia Nature DOI: 10.1038/nature08192
Stefansson, H., Ophoff, R., Steinberg, S., Andreassen, O., Cichon, S., Rujescu, D., Werge, T., Pietiläinen, O., Mors, O., Mortensen, P., Sigurdsson, E., Gustafsson, O., Nyegaard, M., Tuulio-Henriksson, A., Ingason, A., Hansen, T., Suvisaari, J., Lonnqvist, J., Paunio, T., Børglum, A., Hartmann, A., Fink-Jensen, A., Nordentoft, M., Hougaard, D., Norgaard-Pedersen, B., Böttcher, Y., Olesen, J., Breuer, R., Möller, H., Giegling, I., Rasmussen, H., Timm, S., Mattheisen, M., Bitter, I., Réthelyi, J., Magnusdottir, B., Sigmundsson, T., Olason, P., Masson, G., Gulcher, J., Haraldsson, M., Fossdal, R., Thorgeirsson, T., Thorsteinsdottir, U., Ruggeri, M., Tosato, S., Franke, B., Strengman, E., Kiemeney, L., GROUP†, ., Melle, I., Djurovic, S., Abramova, L., Kaleda, V., Sanjuan, J., de Frutos, R., Bramon, E., Vassos, E., Fraser, G., Ettinger, U., Picchioni, M., Walker, N., Toulopoulou, T., Need, A., Ge, D., Lim Yoon, J., Shianna, K., Freimer, N., Cantor, R., Murray, R., Kong, A., Golimbet, V., Carracedo, A., Arango, C., Costas, J., Jönsson, E., Terenius, L., Agartz, I., Petursson, H., Nöthen, M., Rietschel, M., Matthews, P., Muglia, P., Peltonen, L., St Clair, D., Goldstein, D., Stefansson, K., Collier, D., Kahn, R., Linszen, D., van Os, J., Wiersma, D., Bruggeman, R., Cahn, W., de Haan, L., Krabbendam, L., & Myin-Germeys, I. (2009). Common variants conferring risk of schizophrenia Nature DOI: 10.1038/nature08186
at 11:37 PM